Doplor Sleep Aplikasi Mudah Alih Pemantauan Tidur oleh Yiling Liu

Reka bentuk Doplor Sleep Aplikasi Mudah Alih Pemantauan Tidur oleh Yiling Liu ialah pemenang yang sangat dihormati bagi 2021 A' Design Award Besi yang amat berprestij dalam Kategori Pertandingan Reka Bentuk Teknologi Mudah Alih, Aplikasi dan Perisian.

BesiMudah Alih· 2021

Doplor Sleep Aplikasi Mudah Alih Pemantauan Tidur

oleh Yiling Liu

Klien: Reinier de Graaf Gasthuis

Pemenang A' Design Award Besi dalam Kategori Mudah Alih

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Reka Bentuk

Mengenai Doplor Sleep Aplikasi Mudah Alih Pemantauan Tidur

Doplor Sleep ialah aplikasi pemantauan tidur untuk kegunaan hospital. Aplikasi ini merakam bunyi persekitaran menggunakan mikrofon telefon pintar. Algoritma kemudiannya mengklasifikasikan setiap bunyi ke dalam kategori seperti penggera perubatan, pertuturan, bunyi sampingan dan dengkuran. Data tidur dikumpulkan daripada penjejak tidur yang disambungkan dan digabungkan dengan data bunyi dalam laporan harian. Ilustrasi ringkas menunjukkan tahap bunyi dan peringkat tidur pada satu garis masa. Matlamatnya adalah untuk menyedarkan pesakit dan kakitangan perubatan tentang bunyi bising sebagai punca tidur yang kurang berkualiti di hospital.

Pengiktirafan

Mengenai A' Design Award Besi

Doplor Sleep Aplikasi Mudah Alih Pemantauan Tidur ialah pemenang A' Design Award Besi, pengiktirafan yang berprestij yang dianugerahkan kepada reka bentuk yang baik yang memenuhi keperluan profesional dan industri yang dijangka daripada ciptaan yang direka dengan baik. Pemenang Besi menunjukkan kemahiran yang besar, kepakaran yang tinggi, kefahaman pakar dan keupayaan kreatif penciptanya. Doplor Sleep Aplikasi Mudah Alih Pemantauan Tidur diharapkan menjadi ciptaan yang sangat dihargai, dikagumi dan disayangi yang praktikal dan inovatif. Reka bentuk pemenang A' Design Award Besi ini menyepadukan amalan terbaik industri dan mempunyai ciri teknikal yang kompeten yang dikaitkan dengan kepakaran dan bakat. Doplor Sleep Aplikasi Mudah Alih Pemantauan Tidur dihormati kerana ketelitiannya dan direka untuk memberikan peningkatan kualiti hidup yang membantu menjadikan dunia tempat yang lebih baik.

Di Sebalik Reka Bentuk

Kit Akhbar

Kredit, ahli pasukan dan butiran teknikal yang disediakan oleh pereka.

Ciri-Ciri Unik: Doplor Sleep is a bedtime monitoring application that provides insights into sound disturbances in the hospital. It captures the environmental sounds using the microphone of the smartphone, and the implemented algorithms directed classify the data recorded into different sound source categories, such as medical alarms, speech, incidental sounds, and snoring sounds. Doplor sleep is connected with the Fitbit sleep tracker and retrieves data from Fitbit API to form daily sleep-sound quality reports. As for the UI, we used friendly-looking illustrations to present the data and information, and a creative way of interaction to let users view the dynamic of their sleep status and the acoustical environment throughout the night.
Dimensi & Pembungkusan: The mobile application currently operates on Android devices, such as Android phones and devices.
Tag: Soundscape, Sleep, Sleep hygiene, Sleep quality, Hospital, sleep deprivation.
Teknologi Pengeluaran: The whole system is built with the Android Studio IDE and used the Fitbit API for retrieving sleep data.
Cabaran Reka Bentuk: The first challenge is how to design a sound classification algorithm that could accurately classify the sounds of the hospital. The second one is to investigate how can we present the sound data and sleep data on the same timeline in a user-friendly way.
Penyelidikan: Recently in the Netherlands, researchers have found
that sleep duration and quality were suboptimal in the
hospital. Evidence proved that many modifiable hospital-related
factors negatively associated with patients' sleep
(JAMA Internal Medicine, 2018). The sound factor is
the most significant sleep disturbance in the hospital.
In this graduation project, collaborating with Reiner de Graaf
hospital and Critical Alarms lab, an information exchange
the system was proposed to raise awareness of sound as sleep
disturbance. The system captures the sound-producing
events and visualizes them with visually attractive graphics.
In this system, we use the smartphone as the sound captor.
The recorded sounds are processed locally on the phone
and converted into information such as sound level and the
category it belongs to (alarm, speech, incidental sounds, or
snore). Fitbit is implemented in the system to collect sleep
information. To both patients and medical staff, The Doplor
sleep system presents the influence of sound on sleep in
a friendly and comprehensive way. During this project, a
functioning prototype was developed. We have tested its
functionality and user experience with the potential users.
Inspirasi: Sleep deprivation caused by environmental factors can be fatal to critically ill patients. For example, various noises caused by false medical alarms, activities of hospital staff, conversations, etc. can cause delirium in patients with brain diseases. When it happens, patients are in a state of mental confusion and emotional disruption, which prolongs their hospital stay and, like a vicious circle, disturbs the rest of the other patients. A first-step solution can be creating awareness.
Tempoh Projek: The project started in March 2020 and ends in October 2020 in Delft, the Netherlands.
Aliran Operasi: Before going to bed, the user presses the ship-icon button to start recording the environmental sounds. The next morning, the user presses the ship-icon again to stop recording. Then a sleep summary page occurs with information displayed such as sleep quality and sound quality. By Swiping to the left, the next screen occurs and the user sees more details about sees the presence of sounds (loudness levels and classifications) and sleep stages (wake, Light sleep, REM, and Deep sleep) during the whole by moving the boat forward along the river. Here we used boats as a time indicator and a representation of the sleeper, and the river indicating the timeline. The color blocks on the river represent the sleep stages. The icons of picnic, flashlight, rocks, and nose bubble indicate different sound classifications (speech, medical alarms, incidental sounds, and snores). Finally, by swiping to the left again, the user could fill in a short survey on their subjective feelings about sleep quality. The data will then be sent to the medical staff.
Ahli Pasukan: Yiling Liu
Elif Özcan
‪Jered Vroon
Daan Kamphuis
Kredit Imej: Image #1: Illustrator Yiling Liu, Doplor Sleep Mockup, 2020.
Image #2: Illustrator Yiling Liu, Doplor Sleep Phone Mockup, 2020.
Image # 3: Illustrator Yiling Liu, Doplor Sleep Tablet Mockup, 2020.
Image #4: Creator Yiling Liu, Doplor Sleep Phone Mockup, 2020.
Image #5: Creator Yiling Liu, Doplor Sleep Phone Mockup, 2020.
Video Credits: Creator Yiling Liu, Doplor Sleep Showcase, 2020